Advances in Molecular Imaging

Advances in Molecular Imaging

ISSN Print: 2161-6728
ISSN Online: 2161-6752
www.scirp.org/journal/ami
E-mail: ami@scirp.org
"DTI and Structural MRI Classification in Alzheimer’s Disease"
written by Lilia Mesrob, Marie Sarazin, Valerie Hahn-Barma, Leonardo Cruz de Souza, Bruno Dubois, Patrick Gallinari, Serge Kinkingnéhun,
published by Advances in Molecular Imaging, Vol.2 No.2, 2012
has been cited by the following article(s):
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[1] Fuzzy Logic-Based Disease Classification Using Similarity-Based Approach with Application to Alzheimer's
… Technologies in Data …, 2023
[2] Application of Diffusion Tensor Imaging Based on Automatic Fiber Quantification in Alzheimer's Disease
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[3] A Comprehensive Review Analysis of Alzheimer's Disorder Using Machine Learning Approach
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[4] Using SVM for Alzheimer's Disease detection from 3D T1MRI
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[5] Comparing All Possible Combinations of Structural, Diffusion, and Resting State Functional MRI to Classify Alzheimer's Disease
2022
[6] Features of the superficial white matter as biomarkers for the detection of Alzheimer's disease and mild cognitive impairment: A diffusion tensor imaging study
Heliyon, 2022
[7] Mild cognitive impairment classification using combined structural and diffusion imaging biomarkers
Gonzalez, L Jiménez-Ángeles… - Physics in Medicine …, 2021
[8] Classification of multimodal MRI images using Deep Learning: Application to the diagnosis of Alzheimer's disease.
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[9] A diagnostic unified classification model for classifying multi-sized and multi-modal brain graphs using graph alignment
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[10] Deep Learning-Based Segmentation in Classification of Alzheimer's Disease
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[11] Enhanced computerised diagnosis of Alzheimer's disease from brain MRI images using a classifier merger strategy
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[12] A Survey on Classification Algorithms of Brain Images in Alzheimer's Disease Based on Feature Extraction Techniques
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[13] An Ensemble Learning Approach Based on Diffusion Tensor Imaging Measures for Alzheimer's Disease Classification
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[14] An Ensemble Learning Approach Based on Diffusion Tensor Imaging Measures for Alzheimer's Disease Classification. Electronics 2021, 10, 249
2021
[15] Reproducible evaluation of diffusion MRI features for automatic classification of patients with Alzheimer’s disease
Neuroinformatics, Springer, 2021
[16] Multimodal MRI-based classification of Alzheimer's disease
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[17] Diffusion-weighted imaging (DWI) tractography and Alzheimer's disease
2020
[18] Machine Learning for the Classification of Alzheimer's Disease and Its Prodromal Stage Using Brain Diffusion Tensor Imaging Data: A Systematic Review
2020
[19] Characterizing white matter connectivity in Alzheimer's disease and mild cognitive impairment: An automated fiber quantification analysis with two independent …
2020
[20] Denouements of machine learning and multimodal diagnostic classification of Alzheimer's disease
2020
[21] Multimodal MRI Based Classification and Prediction of Alzheimer's Disease Using Random Forest Ensemble
2020
[22] Reproducible evaluation of diffusion MRI features for automatic classification of patients with Alzheimer's disease
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[23] Classification and early detection of dementia and cognitive decline with magnetic resonance imaging
2019
[24] Diferential diagnosis of alzheimer's disease based on multimodal imaging data (MRI, PIB and DTI)
2019
[25] Applications of NODDI for imaging in vivo white matter pathology in neurodegenerative diseases
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[26] Beware of feature selection bias! Example on Alzheimer's disease classification from diffusion MRI
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[27] Structural and microstructural neuroimaging for diagnosis and tracking of neurodegenerative diseases
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[28] Atlas-Based Segmentation Pipelines on 3D Brain MR Images: A Preliminary Study
BRAIN. Broad Research in …, 2018
[29] Classification of Alzheimer's Disease, Mild Cognitive Impairment, and Normal Controls With Subnetwork Selection and Graph Kernel Principal Component …
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[30] Reproducible evaluation of diffusion MRI features for automatic classification of patients with Alzheimers disease
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[31] A comprehensive analysis of resting state fMRI measures to classify individual patients with Alzheimer's disease
NeuroImage, 2018
[32] Classification of Alzheimer's disease, mild cognitive impairment and normal controls with subnetwork selection and graph kernel principal component analysis based …
Frontiers in Computational Neuroscience, 2018
[33] A novel approach to brain connectivity reveals early structural changes in Alzheimer's disease
Physiological Measurement, 2018
[34] A comprehensive analysis of resting state fMRI measures to classify individual patients with Alzheimer's disease.
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[35] Classification of Alzheimer's disease and prediction of mild cognitive impairment-to-Alzheimer's conversion from structural magnetic resource imaging using feature …
Computers in Biology and Medicine, 2017
[36] Individual classification of Alzheimer's disease with diffusion magnetic resonance imaging
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[37] To appear in: Computers in Biology and Medicine
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[38] Classification of Alzheimer's disease and prediction of mild cognitive impairment-to-Alzheimer's conversion from structural magnetic resource imaging using feature …
Computers in Biology and Medicine, 2017
[39] Histogram-Based Feature Extraction from Individual Gray Matter Similarity-Matrix for Alzheimer's Disease Classification
Journal of Alzheimer's Disease, 2017
[40] DTI measurements for Alzheimer's classification
Physics in Medicine & Biology, 2017
[41] Recognition of Alzheimer's disease and Mild Cognitive Impairment with multimodal image-derived biomarkers and Multiple Kernel Learning
Neurocomputing, 2017
[42] Diagnosis of Alzheimer's Disease Based on Structural MRI Images Using a Regularized Extreme Learning Machine and PCA Features
Journal of Healthcare Engineering, 2017
[43] Tissue magnetic susceptibility mapping as a marker of tau pathology in Alzheimer's disease
NeuroImage, 2017
[44] Predicting Alzheimer Disease Status Using High-Dimensional MRI Data Based on LASSO Constrained Generalized Linear Models
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[45] Structural MRI-based detection of Alzheimer's disease using feature ranking and classification error
Computer Methods and Programs in Biomedicine, 2016
[46] A hybrid sequential feature selection approach for the diagnosis of Alzheimer's Disease
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[47] Combining anatomical, diffusion, and resting state functional magnetic resonance imaging for individual classification of mild and moderate Alzheimer's …
NeuroImage: Clinical, 2016
[48] Frontiers for the early diagnosis of AD by means of MRI brain imaging and support vector machines
Current Alzheimer Research, 2016
[49] Structural MRI-based classification of alzheimer's disease
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[50] Combining anatomical, diffusion, and resting state functional magnetic resonance imaging for individual classification of mild and moderate Alzheimer's …
NeuroImage: Clinical, 2016
[51] Multimodal analysis of functional and structural disconnection in A lzheimer's disease using multiple kernel SVM
Human brain mapping, 2015
[52] Features-based MRI brain classification with domain knowledge: application to Alzheimer's disease diagnosis
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[53] Classification des IRM par les descripteurs de contenu: application au diagnostic précoce de la maladie d'Alzheimer
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[54] Multimodal analysis of functional and structural disconnection in Alzheimer's disease using multiple kernel SVM
Human brain mapping, 2015
[55] Feature-ranking-based Alzheimer's disease classification from structural MRI
Magnetic Resonance Imaging, 2015
[56] Analysis of sub-anatomic diffusion tensor imaging indices in white matter regions of Alzheimer with MMSE score
Computer methods and programs in biomedicine, 2014
[57] Diffusion Tensor Imaging retrieval for Alzheimer's disease diagnosis
Content-Based Multimedia Indexing (CBMI), 2014 12th International Workshop on. IEEE,, 2014
[58] Brain Tumor Analysis and Classification of Brain MR Images
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[59] Evaluation of the Length of Tracked Fibers of Korean Female Adults Brain According to Life Cycle by Fiber Tractography
Journal of Convergence Information Technology(JCIT), 2013
[60] Using diffusion MRI technique as a tool in the early detection of Alzheimer's Disease
DSpace at UofM, 2012
[61] Dimension Reduction and Classification for High Dimensional Complex Data.
2012
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